Drop Unspecified Variables — drop_unspec

This function drops all unspecified variables. It will throw and error if the dataset does not contain all expected variables.

Usage

drop_unspec_vars(dataset, metacore, dataset_name = NULL)

Arguments

dataset: Dataset to change
metacore: metacore object that only contains the specifications for the dataset of interest.
dataset_name: Optional string to specify the dataset. This is only needed if the metacore object provided hasn't already been subsetted.

Value

Dataset with only specified columns

Examples

library(metacore)
library(haven)
library(dplyr)
load(metacore_example("pilot_ADaM.rda"))
spec <- metacore %>% select_dataset("ADSL")
data <- read_xpt(metatools_example("adsl.xpt")) %>%
  select(USUBJID, SITEID) %>%
  mutate(foo = "Hello")
drop_unspec_vars(data, spec)
#> The following variable(s) were dropped:
#>   foo
#> # A tibble: 254 × 2
#>    USUBJID     SITEID
#>    <chr>       <chr> 
#>  1 01-701-1015 701   
#>  2 01-701-1023 701   
#>  3 01-701-1028 701   
#>  4 01-701-1033 701   
#>  5 01-701-1034 701   
#>  6 01-701-1047 701   
#>  7 01-701-1097 701   
#>  8 01-701-1111 701   
#>  9 01-701-1115 701   
#> 10 01-701-1118 701   
#> # ℹ 244 more rows